AI Agent Engineering: Master Prompts & Build Autonomous AI Systems

What you will learn:

Mastering prompt engineering for various large language models (LLMs)
Building autonomous AI agents that operate independently
Utilizing advanced prompting frameworks like RACE, ReAct, and Tree of Thought
Integrating external tools and APIs to enhance agent capabilities
Creating AI agents for diverse applications in marketing, business, and more
Automating complex tasks and workflows using no-code platforms
Evaluating and refining AI outputs for optimal performance
Understanding the ethical considerations of AI agent development
Developing a strategic mindset for designing effective AI solutions
Preparing for a career involving AI agent engineering

Description

Unlock the Power of AI: From Basic Prompts to Autonomous Agents

The future of work is intelligent automation. This course provides a complete, practical guide to leveraging the potential of artificial intelligence, bridging the gap between simple prompt engineering and the creation of sophisticated, independent AI agents.

Designed for professionals across diverse fields – from marketing and business to design and tech – this program equips you with the skills to build AI solutions that streamline workflows, enhance productivity, and deliver significant cost savings. You'll move beyond basic prompt writing, learning advanced techniques and frameworks for building AI systems that operate autonomously, making decisions, and executing complex tasks.

Under the expert guidance of Anton Voroniuk, an experienced AI educator and digital marketing leader, you'll explore the latest AI models, including GPT-4, Claude, Gemini, and DeepSeek. You'll master essential frameworks like RACE, ReAct, Tree-of-Thought, and Self-Ask for consistently achieving desired outcomes. Learn how to integrate these AI tools with platforms like Make and N8N to automate repetitive tasks and create robust, multi-step AI agents.

This course is not just theory; it's intensely practical. You’ll construct AI agents for real-world applications, including marketing campaign planning, trend forecasting, customer service automation, and more. Learn to effectively evaluate AI responses, refine outputs, and minimize errors for consistently reliable results. By the end, you’ll possess the expertise to design, build, and deploy AI agents capable of significantly boosting efficiency and productivity across various business functions.

What You Will Gain:

Mastery of prompt engineering and advanced prompting techniques
A practical, step-by-step approach to building autonomous AI agents
Hands-on experience with leading AI models and no-code automation platforms
Real-world applications and case studies across various industries
A valuable portfolio addition and a competitive edge in the rapidly evolving AI job market

This course is perfect for: Marketing professionals, business leaders, AI enthusiasts, product designers, project managers, and anyone aiming to harness the transformative power of AI for career advancement.

Enroll now and begin your journey toward mastering the art of AI agent engineering!

Curriculum

Introduction to AI Interaction & Course Overview

This introductory section lays the groundwork for understanding AI interaction and the course's structure. Lectures cover the definition of AI interaction, the evolution from prompt engineering to agent engineering, course objectives, and effective Udemy learning strategies. You'll get a clear picture of the course's scope and how to make the most of your learning experience.

Fundamentals of Prompt Engineering

This section dives deep into the core principles of prompt engineering. Lectures cover understanding various AI models (GPT-4, Claude, Gemini, etc.), crafting effective prompts for text, image, and video generation. It addresses common prompting mistakes and provides best practices for optimization. You'll learn how to evaluate the quality of AI responses and develop strategies for refining prompts to consistently achieve desired results.

Prompt Engineering Frameworks

Here, you'll explore proven frameworks that enhance the precision and consistency of your prompts. Lectures cover the RACE, ReAct, Tree of Thought, and Self-Ask frameworks, providing a practical understanding of how these approaches translate into improved AI output and reliable outcomes.

What are the Most Popular AI Tools?

This section provides a focused overview of several popular AI tools. Lectures delve into the functionalities and applications of ChatGPT, Gemini, Claude, DeepSeek, and Copilot. Understanding these tools is crucial for building effective AI agents later in the course.

Use Case–Specific Prompting

This section applies prompt engineering techniques to various real-world scenarios. You'll see how to use AI tools for tasks such as SEO strategy, competitor monitoring, PPC campaign creation, market research, SWOT analysis, and content marketing. It showcases the versatility of AI in different contexts.

Introduction to Agent Engineering

This section marks the transition from prompt engineering to the more advanced concept of agent engineering. Lectures define AI agents, their key components, and the process of evolving from static prompts to autonomous agents. You'll learn what constitutes an autonomous agent and the importance of providing clear instructions.

Building AI Agents Step by Step

This is a hands-on section where you learn to build AI agents. Lectures guide you through defining agent goals, workflows, and the use of APIs and external tools. You'll create agents for video prompt enhancement, image generation, customer support, and appointment booking. Practical examples are key here.

Creating Your AI Agent with Digital First

This section focuses on building AI agents for marketing strategies. Lectures cover workspace setup, data management, value proposition definition, customer persona identification, market research, campaign building, and asset generation. This section ties AI into core marketing activities.

Browser AI Agents (OpenAI Operator and Manus)

Here, you'll explore browser-based AI agents and automation tools. Lectures cover OpenAI Operator, Manus, n8n, and Make, demonstrating how to create basic AI agents using these platforms. This section focuses on practical application and automating tasks.

Final Thoughts & Next Steps

The concluding section addresses ethical considerations, the limits of current AI, and career opportunities. It explores the future of AI and provides guidance on how to think like an agent designer. This section reflects on the broader implications of AI and its future.

BONUS

This bonus section offers additional resources and guidance to help you advance your skills and career.

Deal Source: real.discount